Open Source artificial intelligence in healthcare
OpenMed is a platform that brings together open source artificial intelligence models and data sets used in healthcare. Developed for medical-oriented applications, this Python-based library aims to standardize health data processing processes.
Updates
- September 16, 2026: Stars 5,217 → 5,329, latest release v2.5.0 (September 15, 2026).
- September 5, 2026: Stars 5,076 → 5,217, latest release v2.3.0 (September 4, 2026).
- August 21, 2026: Stars 5,015 → 5,076, latest release v2.2.0 (August 21, 2026).
- August 15, 2026: Stars 4,793 → 5,015, latest release v2.1.0 (August 12, 2026).
What you get
- Extracts structured medical insights from clinical texts.
- Anonymizes personal health data on the device.
- It runs more than 1,000 medical AI models offline.
Installation
pip install "openmed[hf]"pip install "openmed[mlx]"Running it
python -c "from openmed import extract_pii; print([(e.label, e.text) for e in extract_pii('Dr. Pedro Almeida, CPF: 123.456.789-09, email: pedro@hospital.pt', lang='pt').entities])"If you don't write code
I want to analyze medical text using the OpenMed library. I have Python installed on my device. First of all, I completed the installation with the pip install "openmed[hf]" command. Now, what functions should I call in my Python code to analyze my clinical notes and detect medical terms or personal data (PII) in them? Please create me a simple sample code block on model selection and printing the outputs.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-10: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.